What Is Azure Digital Twins?

Azure Digital Twins is designed to develop a digital representation of your IoT environment. It enables businesses to model resources, people, and real-world objects. Further, these digital twins help to gain predictive insights and key business analytics to drive effective product strategy and improved customer experience.

Overview

what is azure digital twins benefits

Applying Digital Twins definition language, businesses can model real-world things, people, and processes. It allows crafting live graphical representation implementing live execution environment. Utilize your IoT environment by gaining simplified data analytics and key insights when configured with AI services, Azure Data, or likewise. With the help of such data insights, enterprises can forecast or predict the future possibilities for your IoT-connected infrastructure.

With Digital Twins, deploy digital representation of real-world things, resources, etc., to impact production line, improve & optimize operations, and drive breakthrough customer experience.

01.

Open modeling language to create custom domain models of any connected environment using Digital Twins Definition Language

02.

Live execution environment to bring your digital twins to life in a live graph representation

03.

Input from IoT and business systems to connect assets, including IoT devices, using Azure IoT Hub, Logic Apps, and REST APIs

04.

Output twin change events to Azure Data Explorer, Azure Synapse Analytics, Event Hubs and other downstream services

Track the past and help predict the future of any connected environment

Easily model and create digital representations of connected environments with an open modelling language. Model buildings, factories, farms, energy networks, railways, stadiums and even entire cities. Bring these digital twins to life with a live execution environment that historizes twin changes over time. Unlock actionable insights into the behaviour of modelled environments via powerful query APIs, and integrates with Azure data analytics.